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On the Performance of Filters for Reduction of Speckle Noise in SAR Images Off the Coast of the Gulf of Guinea

机译:关于在几内亚海岸海岸中SAR图像中散斑噪声减少的过滤器的性能

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摘要

Synthetic Aperture Radar (SAR) imagery to monitor oil spills are some methodsthat have been proposed for the West African sub-region. With the increase inthe number of oil exploration companies in Ghana (and her neighbors) and therise in the coastal activities in the sub-region, there is the need for propermonitoring of the environmental impact of these socio-economic activities onthe environment. Detection and near real-time information about oil spills arefundamental in reducing oil spill environmental impact. SAR images are prone tosome noise, which is predominantly speckle noise around the coastal areas. Thispaper evaluates the performance of the mean and median filters used in thepreprocessing filtering to reduce speckle noise in SAR images for most imageprocessing algorithms.
机译:用于监测漏油的合成孔径雷达(SAR)图像是在西非次区域提出的一些方法。随着加纳(及其邻国)的石油勘探公司数量的增加,在沿海活动的沿海活动中,需要提出这些社会经济活动对环境的环境影响。关于溢油的检测和近实时信息是减少漏油环境影响的漏油溢出。 SAR图像易于给予给人噪音,这主要是沿海地区周围的斑点噪音。此捕获术语评估了在Prepessing滤波中使用的平均和中值滤波器的性能,以减少SAR图像中的SAL噪声,以获取大多数图像分析算法。

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